DocumentCode
1744642
Title
Analysis and prediction for the growth enterprise market (GEM)
Author
Hua, Bai ; Lam, K.P.
Author_Institution
Manage. Sch., Tianjin Univ., China
Volume
1
fYear
2000
fDate
2000
Firstpage
36
Abstract
To a new stock market, the growth enterprise market (GEM), two predictability analysis techniques are used to perform a predictability analysis based on daily closing prices. Two effective data preprocessing techniques are utilized to preprocess historical closing price data. On the basis of this, the profit opportunities of GEM stocks are predicted using a probabilistic neural network, and good prediction results have been obtained
Keywords
economics; investment; management; neural nets; probability; stock markets; GEM stocks; daily closing prices; data preprocessing techniques; growth enterprise market; predictability analysis; predictability analysis techniques; probabilistic neural network; profit opportunities; stock market; Chaos; Companies; Data preprocessing; Engineering management; Neural networks; Performance analysis; Research and development management; Stock markets; Systems engineering and theory; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Management of Innovation and Technology, 2000. ICMIT 2000. Proceedings of the 2000 IEEE International Conference on
Print_ISBN
0-7803-6652-2
Type
conf
DOI
10.1109/ICMIT.2000.917264
Filename
917264
Link To Document